Manisha M Ratnaparkhi, Chanda R Vyawahare, Nageswari R Gandham
{"title":"Hepatitis B virus genotype distribution and mutation patterns: Insights and clinical implications for hepatitis B virus positive patients.","authors":"Manisha M Ratnaparkhi, Chanda R Vyawahare, Nageswari R Gandham","doi":"10.5493/wjem.v15.i2.102395","DOIUrl":null,"url":null,"abstract":"<p><p>Hepatitis B virus (HBV) infection is still a major worldwide health concern, contributing to chronic liver disorders like hepatocellular carcinoma (HCC). This review comprehensively analyzes HBV genotype distribution, mutation patterns, and their clinical implications, focusing on diagnostic and therapeutic strategies for HBV-positive patients. The discussion begins with HBV virology, emphasizing its capacity for chronic hepatitis and its association with severe liver complications, notably HCC. Understanding HBV genotypes (A-J) and their distinct geographic distributions is crucial, as genotype variations influence disease progression and treatment responses. Genotypes like C are particularly linked to heightened HCC risk, highlighting the need for genotype-specific management strategies. The genomic structure of HBV, consisting of four open reading frames (ORFs) encoding essential viral proteins, is detailed, with emphasis on mutations within these ORFs influenced by host immune responses and antiviral therapies. These mutations contribute to viral resistance and virulence, impacting treatment outcomes through alterations in viral replication dynamics. Clinical implications are explored through genotype-specific impacts on disease outcomes and treatment approaches. Genotype and mutation analysis guide personalized treatment regimens, optimizing therapeutic efficacy while minimizing adverse effects and preventing drug resistance. Diagnostic molecular techniques such as polymerase chain reaction and sequencing are pivotal in genotype and mutation detection, facilitating tailored treatment decisions.</p>","PeriodicalId":75340,"journal":{"name":"World journal of experimental medicine","volume":"15 2","pages":"102395"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12019620/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World journal of experimental medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5493/wjem.v15.i2.102395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Hepatitis B virus (HBV) infection is still a major worldwide health concern, contributing to chronic liver disorders like hepatocellular carcinoma (HCC). This review comprehensively analyzes HBV genotype distribution, mutation patterns, and their clinical implications, focusing on diagnostic and therapeutic strategies for HBV-positive patients. The discussion begins with HBV virology, emphasizing its capacity for chronic hepatitis and its association with severe liver complications, notably HCC. Understanding HBV genotypes (A-J) and their distinct geographic distributions is crucial, as genotype variations influence disease progression and treatment responses. Genotypes like C are particularly linked to heightened HCC risk, highlighting the need for genotype-specific management strategies. The genomic structure of HBV, consisting of four open reading frames (ORFs) encoding essential viral proteins, is detailed, with emphasis on mutations within these ORFs influenced by host immune responses and antiviral therapies. These mutations contribute to viral resistance and virulence, impacting treatment outcomes through alterations in viral replication dynamics. Clinical implications are explored through genotype-specific impacts on disease outcomes and treatment approaches. Genotype and mutation analysis guide personalized treatment regimens, optimizing therapeutic efficacy while minimizing adverse effects and preventing drug resistance. Diagnostic molecular techniques such as polymerase chain reaction and sequencing are pivotal in genotype and mutation detection, facilitating tailored treatment decisions.